• RUNNING
  • SUCCESS
  • FAILED
  • HUMAN

How to monitor GPU service health with your AI

Connect SenseCore Platform to your AI client to get live updates on your infrastructure. Your agent handles the status checks so you don't have to manually poll dashboards.

Ask AI about this page

Short answer

How can I track my GPU service status and inference progress?

Your AI uses the SenseCore Platform to pull real-time status updates for deployed services and track the progress of active inference tasks. You get immediate visibility into whether a job is running, completed, or stuck.

Status outcomes.

Where your status updates land.

The AI categorizes every status check into actionable outcomes.

RUNNING

Active task tracking

The AI identifies jobs currently consuming GPU resources. You'll see exactly which inference tasks are still in progress.

SUCCESS

Completed job logs

The AI confirms when a service or task has finished successfully. You get the confirmation you need to move to the next step.

FAILED

Error detection

The AI flags services that have crashed or tasks that hit an error. This highlights exactly where your GPU workload stopped.

HUMAN

Manual intervention

If a service is unresponsive or a task fails repeatedly, the AI notifies you. You decide if you need to restart the service or debug the code.

The workflow

What your AI does when a status request arrives.

Your agent acts as the bridge between your chat and the SenseCore infrastructure.

  1. Fetch live data

    The AI reaches out to the platform to grab the current state of your deployed services.

    get_run_status

  2. Analyze task progress

    The agent looks at the specific progress markers for long-running inference jobs.

    get_run_status

  3. Identify service health

    The AI compares the current service state against expected healthy parameters.

    get_run_status

  4. Report findings

    The agent translates raw status data into a clear summary of what is running and what failed.

    get_run_status

Try it

Copy these to start.

Use these prompts to begin monitoring your GPU workloads.

Starting points

These are basic starting lines. Replace the specific job IDs or service names with your actual SenseCore identifiers.

SenseCore Platform Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — SenseCore Platform capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sensecore-platform-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WGerX5EoMF3cLaPImYP34A8UFoRYYgmvQyPkRFRu/mcp"
    }
  }
}
Copy into chat04

  • What is the current status of my inference task with ID run_99283?

  • Check the health of my deployed GPU service named 'llama-inference-prod'.

  • Is my long-running inference job still progressing or has it finished?

  • List all currently running tasks on the SenseCore Platform.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect SenseCore Platform once, then ask.

Just link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your GPU status.

Connect SenseCore Platform to your AI

FAQ

How this task behaves.

  • 01

    Can my AI restart a failed GPU service?

    No. The AI can only read the status of your services. You must manually trigger restarts or deployments through your own management tools.

  • 02

    Can the AI change my GPU configuration?

    No. This connector is for monitoring and status tracking only. It cannot modify hardware settings or service parameters.

  • 03

    How often does the AI get updates?

    The AI gets fresh data every time you ask a question, as it calls the status tool in real time.

  • 04

    Can I see error logs through the AI?

    The AI can report if a task has failed, but it only provides the status information provided by the get_run_status tool.

  • 05

    Does the AI track multiple services at once?

    Yes, you can ask about specific services by name or ask for a summary of multiple tasks.

  • More questions about SenseCore Platform? The Connector page answers them. See everything the SenseCore Platform Connector can do

Connect SenseCore Platform to Claude, Cursor, ChatGPT & more